• Journal of the Korean Data and Information Science Society
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• 제28권6호
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• pp.1415-1425
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• 2017

태풍은 강한 바람과 폭우를 동반하며 매년 한반도에 인명과 재산피해의 원인이 된다. 국내에서 발생한 자연재해 피해에서 태풍이 차지하는 비중이 높다. 태풍의 많은 피해는 폭우에 의해 발생하므로 태풍이 일 최대강수량에 미치는 영향을 정량적으로 살펴볼 필요가 있다. 일 최대강수량은 극치자료로 일반적으로 일반화극단치분포를 따른다. 연구자료로 1976년부터 2016년까지 한반도에 설치된 60개 종관기상관측장비에서 수집된 일강수량, 최대풍속, 평균풍속 자료가 사용되었다. 태풍이 온 기간을 제외한 일강우량 자료와 태풍이 온 기간을 포함한 일강우량 자료로 구분하여 일반화극단치모형에 적합시켰다. 모수추정방법으로 최우추정법과 L-적률추정법이 이용되었다. K-S검정과 $Cram{\acute{e}}r$ von Mises검정을 통해 모형의 적합도를 검정하였다. 추정된 모수를 기반으로 25년, 50년, 100년, 200년 재현수준을 계산하였다. 태풍기간 포함유무에 따른 재현수준을 비교한 결과 태풍은 강릉 인근의 동해안과 울산과 완도 인근의 남해안의 일 최대강수량에 영향을 미친다.

• Wind and Structures
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• 제10권6호
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• pp.555-576
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• 2007

Statistical analysis on the measured responses of a suspension bridge deck (Law, et al. 2007) show that vibration response at the first torsional mode of the structure has a significant increase at and beyond the critical wind speed for vortex shedding as noted in the wind tunnel tests on a sectional model. This paper further analyzes the measured responses of the structure when under typhoon conditions for any possible vortex shedding events. Parameters related to the lifting force in such a possible event and the vibration amplitudes are estimated with a single-degree-of-freedom model of the system. The spatial correlation of vortex shedding along the bridge span is also investigated. Possible vortex shedding events are found at both the first torsional and second vertical modes with the root-mean-square amplitudes comparable to those predicted from wind tunnel tests. Small negative stiffness due to wind effects is observed in isolated events that last for a short duration, but the aerodynamic damping exhibits either positive or negative values when the vertical angle of wind incidence is beyond ${\pm}10^{\circ}$. Vibration of the bridge deck is highly correlated in the events at least in the middle one-third of the main span.

• 한국환경과학회지
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• 제24권12호
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• pp.1657-1671
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• 2015

In this study, the wind direction and the wind speed of the nearest temperature observations point of the National Weather Service was analyzed in order to investigate the rapid rise and drop of water temperature in the East Coast appeared after passing of the 2015 typhoon No. 9 and 11. Then the figures were simulated and analyzed using the WRF(weather research and forecast) model to investigate in more detailed path of the typhoon as well as the changes in the wind field. The results were as follows. A sudden drop of water temperature was confirmed due to upwelling on the East coast when ninth typhoon Chanhom is transformed from tropical cyclones into extra tropical cyclone, then kept moving eastwards from Pyongyang forming a strong southerly wind after 13th and this phenomenon lasted for two days. The high SST(sea surface temperature) is confirmed due to a strong northerly wind by 11th typhoon Nangka. This strong wind directly affected the east coast for three days causing the Ekman effect which transported high offshore surface waters to the coast. The downwelling occurred causing an accumulation of high temperature surface water. As a results, the SST of 15m and 25m rose to that of 5m.

• 한국환경과학회지
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• 제21권4호
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• pp.517-533
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• 2012

This study calculated wind speed at the height of 10 m using a disaster prediction model(Florida Public Hurricane Loss Model, FPHLM) that was developed and used in the United States. Using its distributions, a usable information of surface wind was produced for the purpose of disaster prevention when the typhoon attack. The advanced research version of the WRF (Weather Research and Forecasting) was used in this study, and two domains focusing on South Korea were determined through two-way nesting. A horizontal time series and vertical profile analysis were carried out to examine whether the model provided a resonable simulation, and the meteorological factors, including potential temperature, generally showed the similar distribution with observational data. We determined through comparison of observations that data taken at 700 hPa and used as input data to calculate wind speed at the height of 10 m for the actual terrain was suitable for the simulation. Using these results, the wind speed at the height of 10 m for the actual terrain was calculated and its distributions were shown. Thus, a stronger wind occurred in coastal areas compared to inland areas showing that coastal areas are more vulnerable to strong winds.

• Smart Structures and Systems
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• 제17권3호
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• pp.391-411
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• 2016

This study investigates the mode identifiability of a multi-span cable-stayed bridge in terms of a benchmark study using stabilization diagrams of a system model identified using stochastic subspace identification (SSI). Cumulative contribution ratios (CCRs) estimated from singular values of system models under different wind conditions were also considered. Observations revealed that wind speed might influence the mode identifiability of a specific mode of a cable-stayed bridge. Moreover the cumulative contribution ratio showed that the time histories monitored during strong winds, such as those of a typhoon, can be modeled with less system order than under weak winds. The blind data Acc 1 and Acc 2 were categorized as data obtained under a typhoon. Blind data Acc 3 and Acc 4 were categorized as data obtained under wind conditions of critical wind speeds around 7.5 m/s. Finally, blind data Acc 5 and Acc 6 were categorized as data measured under weak wind conditions.

• 한국환경과학회지
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• 제28권4호
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• pp.441-454
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• 2019

The present study analyzes the characteristics of 43 typhoons that affected the Korean Peninsula between 2002 and 2015. The analysis was based on 3-second gust measurements, which is the maximum wind speed relevant for typhoon disaster prevention, using a typhoon disaster prevention model. And the distribution and characteristics of the 3-second gusts of four typhoons, RUSA, MAEMI, KOMPASU, and BOLAVEN that caused great damage, were also analyzed. The analysis show that between May and October during which typhoons affected the Korean Peninsula, the month with the highest frequency was August(13 times), followed by July and September with 12 occurrences each. Furthermore, the 3-second gust was strongest at 21.2 m/s in September, followed by 19.6 m/s in August. These results show that the Korean Peninsula was most frequently affected by typhoons in August and September, and the 3-second gusts were also the strongest during these two months. Typhoons MAEMI and KOMPASU showed distribution of strong 3-second gusts in the right area of the typhoon path, whereas typhoons RUSA and BOLAVEN showed strong 3-second gusts over the entire Korean Peninsula. Moreover, 3-second gusts amount of the ratio of 0.7 % in case of RUSA, 0.8 % at MAEMI, 3.3 % at KOMPASU, and 21.8 % at BOLAVEN showed as "very strong", based on the typhoon intensity classification criteria of the Korea Meteorological Administration. Based on the results of this study, a database was built with the frequencies of the monthly typhoons and 3-second gust data for all typhoons that affected the Korean Peninsula, which could be used as the basic data for developing a typhoon disaster prevention system.

• 한국항해항만학회지
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• 제37권6호
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• pp.611-616
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• 2013

이 연구에서는 최근 25년간의 우리나라 기상청 및 일본 기상청 자료를 사용하여 선박의 안전에 크게 영향을 미치는 태풍과 엘니뇨 라니냐 현상과의 관계를 분석하였다. 주요 분석 결과는 다음과 같다. 엘니뇨 발생년의 연평균 태풍 발생 수는 23.9개이고, 라니냐 발생년의 그것은 24.9개이다. 엘니뇨 발생년에 태풍의 발생 수가 감소한다는 사실을 알 수 있다. 태풍의 세기를 나타내는 평균 중심최저기압과 평균 최대 풍속은 엘니뇨 발생년에 959.3hPa과 35.8m/s, 라니냐 발생년에 965.5hPa과 33.7m/s이었다. 즉, 엘니뇨 발생년의 태풍의 세기가 라니냐 발생년의 태풍의 세기보다 강함을 알 수 있다. 구체적으로 평균 중심최저기압은 6.2hPa 낮고, 평균 최대풍속은 2.1m/s 강하다. 이와 같은 결과는 태풍의 발생 해역과 밀접히 관련되어 있다. 즉, 엘니뇨 발생년에 태풍은 동경 150도 이동 해역과 북위 10도 이남 해역에서 상대적으로 더 많이 발생하고, 라니냐 발생년의 태풍은 동경 120-150도 해역과 북위 20도 이북 해역에서 더 많이 발생한다. 동경 150도 이동 해역과 북위 10도 이남 해역에서 발생한 태풍은 북태평양 서부의 광범위한 고수온역을 보다 장시간 이동하게 되므로 더 강력하게 발달할 수 있다.

• 해양환경안전학회지
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• 제30권1호
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• pp.1-12
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• 2024

본 연구는 8월에 한반도를 우회하며 동해상으로 빠져나간 2018년 제 19호 태풍 Soulik과 서해상으로 북진하여 통과한 2020년 제 8호 태풍 Bavi을 통해 태풍 유입 전 후에 따른 한반도 해역별 수온 변동성을 분석하였다. 분석자료는 국립수산과학원 실시간 수온 자료와 수온관측소 근처 AWS의 바람자료 및 NOAA/AVHRR 위성 수온자료를 활용하였다. 분석 결과 이동경로가 다른 태풍이 한반도를 통과할때 동해에서는 풍속과 풍향에 따라 수온의 상승(북풍)과 하강(남풍)이 반복적으로 발생하였는데 특히 태풍 Soulik 유입 시 10 ℃ 안팎의 급격한 수온 하강을 보였다. 서해는 태풍 Bavi의 중심부가 통과되면서 서해 일부 해역에서 수온이 상승되었고, 차가운 물덩어리가 존재했던 남해 일부 해역에서도 태풍 Bavi의 이동으로 따뜻한 수온이 유입되어 평년 수온으로 회복된 것으로 나타났다. 또한 태풍 유입시 서해와 남해는 지형적·환경적 조건으로 인해 각 해역별 특성에 맞게 수온 변동이 다르게 나타났다. 본 연구를 통해 태풍으로 인한 한반도 해역별 수온 변동을 해석함으로써 이상기후에 따른 양식 생물의 부정적인 영향을 최소화하고 해역별 수산재해의 피해대응 전략을 수립하는데 기여할 것으로 사료된다.

• 대한원격탐사학회지
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• 제11권2호
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• pp.17-27
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• 1995

현재 전세계적으로 널리 사용되고 있는 드보라크 방법에 의한 태풍강도 분석법을 1991년 우리나라에 영향을 준 6개 태풍사례에 대해 실제 적용하여 강도분석을 하였다. 또한 분석된 태풍 강도를 이용하여 태풍의 중심기압과 최대풍속을 산출하는 상관 관계식을 계산하여 제시하였다. ORCHID 태풍에 이 관계식을 실제 적용하여 관측값과 비교하여 그 정확도를 평가하였다. 그 결 과 중심기압(MSLP : Minimum Sea Level Pressure)과 최대풍속(MWS : Maximum Wind Speed)이 관측값보다 약간 낮은 값을 보였지만 전체적인 패턴은 비슷하게 나타났다. 그러나 미국 국립 해양 대기청(NOAA) 및 일본 기상청(NAA)에 의해 작성된 상관 관계표로 산출된 값은 관측 값과는 많은 차이를 보여 주었다. One of the world widely used methods in determining the intensity of a typhoon is Dvorak's technique. By applying the Dvorak's method to the typhoons which affected our country in various degress and extents without regard to their individual severity, we estimated their intensity for six different cases of typhoons. We have derived a regression equation of estimating the central pressures and maximum wind speeds for the six selected typhoons. Their intensity was estimated from the Dvork's method using GMS satellite image data. The derived equation has tested to typhoon ORCHID and the computed values have been compared with the direct observations in its central pressure and maximum wind speed. The computed values in the Dvork's method are smaller in their magnitudes than the observed corresponding values. But their relative magnitudes do not change so much at each different time step. But our results are significantly different from those of NOAA and JMA. The cause of differences are not investigated in depth in this analysis.

• Wind and Structures
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• 제31권5호
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• pp.473-482
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• 2020

The first-order method for estimating the extreme wind pressure on building envelopes with consideration of the directionality of wind speed and wind pressure is improved to enhance its computational efficiency. In this improved method, the result is obtained directly from the empirical distribution of a random selection of annual maximum wind pressure samples generated by a Monte Carlo method, rather than from the previously utilized extreme wind pressure probability distribution. A discussion of the relationship between the first- and full-order methods indicates that when extreme wind pressures in a non-typhoon climate with a high return period are estimated with consideration of directionality, using the relatively simple first-order method instead of the computationally intensive full-order method is reasonable. The validation of this reasonableness is equivalent to validating two assumptions to improve its computational efficiency: 1) The result obtained by the full-order method is conservative when the extreme wind pressure events among different sectors are independent. 2) The result obtained by the first-order method for a high return period is not significantly affected when the extreme wind speeds among the different sectors are assumed to be independent. These two assumptions are validated by examples in different regions and theoretical derivation.